Craig Boutilier

Craig Boutilier, Georgios Chalkiadakis, Craig Boutilier, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Research Challenges and Opportunities in Knowledge Representation

Tim Finin, Craig Boutilier, Jeff Heflin, 2013 .

The unavailable candidate model: a decision-theoretic view of social choice

Craig Boutilier, Tyler Lu, Craig Boutilier, 2010, EC '10.

VDCBPI: an Approximate Scalable Algorithm for Large POMDPs

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2004, NIPS.

Automated Channel Abstraction for Advertising Auctions

Craig Boutilier, George L. Nemhauser, David C. Parkes, 2010, AAAI.

Integrating Planning and Execution in Stochastic Domains pdf

Craig Boutilier, Richard Dearden, Craig Boutilier, 1994, UAI.

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements pdf

Ronen I. Brafman, Craig Boutilier, Carmel Domshlak, 2011, J. Artif. Intell. Res..

Preference-oriented Social Networks: Group Recommendation and Inference

Craig Boutilier, Amirali Salehi-Abari, Craig Boutilier, 2015, RecSys.

Reinforcement Learning with Imitation in Heterogeneous Multi-Agent Systems

Craig Boutilier, B. Price, 2007 .

Imitation and Reinforcement Learning with Heterogeneous Actions

Craig Boutilier, B. Price, 2022 .

Fahiem Bacchus

Craig Boutilier, Fahiem Bacchus, 1999 .

Greedy linear value-approximation for factored Markov decision processes

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2002, AAAI/IAAI.

Decision-theoretic elicitation of generalized additive utilities

Craig Boutilier, D. Braziunas, 2012 .

Using Expressiveness to Increase Economic Efficiency in Social Mechanisms

Craig Boutilier, Geoffrey J. Gordon, M. Benisch, 2008 .

Multiple-Profile Prediction-of-Use Games ( Extended Abstract )

Craig Boutilier, A. Perrault, 2017 .

2 . A Generic User Model

Craig Boutilier, Bowen Hui, 2022 .

A Logic for evision a & iv eri

Craig Boutilier, 1999 .

Probabilistic and Utility-theoretic Models in Social Choice : Challenges for Learning , Elicitation , and Manipulation

Craig Boutilier, Tyler Lu, 2011 .

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

Craig Boutilier, Deepak Ramachandran, Chih-Wei Hsu, 2022, WWW.

BRPO: Batch Residual Policy Optimization

Craig Boutilier, Honglak Lee, Ofir Nachum, 2020, IJCAI.

Regret Minimizing Equilibria of Games with Strict Type Uncertainty

Craig Boutilier, Nathanael Hyafil, 2005 .

Chapter 10 : Preference Elicitation in Combinatorial Auctions Tuomas Sandholm and

Craig Boutilier, 2004 .

Structured Sohtion Methods for Fahiem Bacchus

Adam J. Grove, Craig Boutilier, 1999 .

A Mixture-of-Expert Approach to RL-based Dialogue Management

M. Ghavamzadeh, Craig Boutilier, Ofir Nachum, 2022, International Conference on Learning Representations.

A S I Htroduction

Craig Boutilier, Verhica Becher, 2022 .

Intelligent decision support in medicine: back to Bayes?

Craig Boutilier, Colin Neil Jones, Monique Frize, 2007, ECCE '07.

BRPO: Batch Residual Policy Optimization

Ed H. Chi, Craig Boutilier, Honglak Lee, 2020, International Joint Conference on Artificial Intelligence.

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Amy X. Zhang, Michael D. Ekstrand, Connie Moon Sehat, 2022, ACM Transactions on Recommender Systems.

Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning

Craig Boutilier, G. Elidan, Avinatan Hassidim, 2022, ArXiv.

A Mixture-of-Expert Approach to RL-based Dialogue Management

M. Ghavamzadeh, Craig Boutilier, Ofir Nachum, 2022, ICLR.

IJCAI-09 : proceedings of the Twenty-first International Joint Conference on Artificial Intelligence, Pasadena, California USA, July 11-17, 2009

Craig Boutilier, Craig Boutilier, 2009 .

Multiple-Profile Prediction-of-Use Games

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2017, AAMAS.

Defeasible Preferences and Goal Derivations

Craig Boutilier, Craig Boutilier, 1994 .

A modal analysis of subjunctive queries

Craig Boutilier, Craig Boutilier, 1994 .

Extending theories of action : formal theory & practical applications : papers from the 1995 AAAI Symposium, March 27-29, Stanford, California

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1995 .

On the revision of conditional belief sets

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1996 .

Probabilistic Methods in Verification and Planning (Dagstuhl Seminar 03201)

Craig Boutilier, Marta Kwiatkowska, Boudewijn Haverkort, 2021 .

The Social Nature of Human Decision Making

Craig Boutilier, Craig Boutilier, 2013 .

Incremental utility elicitation with minimax regret decision criterion

Craig Boutilier, Tianhan Wang, Craig Boutilier, 2003, IJCAI 2003.

Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test

Craig Boutilier, Craig Boutilier, 1992, KR.

Challenges and Opportunities for Decision-Theoretic Planning

Craig Boutilier, Craig Boutilier, 1999 .

Epistemic Entrenchment in autoepistemic logic

Craig Boutilier, Craig Boutilier, 1992, Fundam. Informaticae.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011

Craig Boutilier, Paolo Viappiani, Craig Boutilier, 2011, AAAI.

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

Morgan E. Currie, Michael C. Horowitz, Gillian K. Hadfield, 2022, ArXiv.

The relevance of socio-demographic and resource factors in the use of acute psychiatric in-patient care in the Atlantic Provinces of Canada

Craig Boutilier, P. Harris, A. Richman, 1984, Psychological Medicine.

A Decision-theoretic Model of Rank Aggregation

Craig Boutilier, Tyler Lu, 2009 .

Accelerating reinforcement learning through imitation

Craig Boutilier, Robert Roy Price, Craig Boutilier, 2003 .

Implicit Imitation in Multiagent Reinforcement Learning

Craig Boutilier, Bob Price, Craig Boutilier, 1999, ICML.

Sequentially optimal repeated coalition formation under uncertainty

Craig Boutilier, Georgios Chalkiadakis, Craig Boutilier, 2012, Autonomous Agents and Multi-Agent Systems.

Practical solution techniques for first-order MDPs

Scott Sanner, Craig Boutilier, Craig Boutilier, 2009, Artif. Intell..

Decision Making under Uncertainty: Operations Research Meets AI (Again)

Craig Boutilier, Craig Boutilier, 2000, AAAI/IAAI.

Learning and planning in structured worlds

Craig Boutilier, Richard Dearden, Craig Boutilier, 2000 .

Craig Boutilier, Craig Boutilier, 1997, UAI.

Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes

Craig Boutilier, Tyler Lu, Craig Boutilier, 2016, UAI.

Advantage Amplification in Slowly Evolving Latent-State Environments

Craig Boutilier, Dale Schuurmans, Ofer Meshi, 2019, IJCAI.

Multi-Winner Social Choice with Incomplete Preferences

Craig Boutilier, Tyler Lu, Craig Boutilier, 2013, IJCAI.

IMO3: Interactive Multi-Objective Off-Policy Optimization

Craig Boutilier, Branislav Kveton, Maryam Karimzadehgan, 2022, IJCAI.

On the equivalence of optimal recommendation sets and myopically optimal query sets

Craig Boutilier, Paolo Viappiani, Craig Boutilier, 2020, Artif. Intell..

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets

Craig Boutilier, Heng-Tze Cheng, Rui Wu, 2019, IJCAI.

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology pdf

Craig Boutilier, Heng-Tze Cheng, Rui Wu, 2019, ArXiv.

People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare

Patrick Olivier, Jesse Hoey, Alex Mihailidis, 2012, TIIS.

Partial-Order Planning with Concurrent Interacting Actions pdf

Ronen I. Brafman, Craig Boutilier, Craig Boutilier, 2011, J. Artif. Intell. Res..

Knowledge Representation for Stochastic Decision Process

Craig Boutilier, Craig Boutilier, 1999, Artificial Intelligence Today.

Planning with Concurrent Interacting Actions

Ronen I. Brafman, Craig Boutilier, Craig Boutilier, 1997, AAAI/IAAI.

The Frame Problem and Bayesian Network Action Representation

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1996, Canadian Conference on AI.

Abduction to Plausible Causes: An Event-Based model of Belief Update

Craig Boutilier, Craig Boutilier, 1994, Artif. Intell..

Nondeterministic Actions and the Frame Problem

Craig Boutilier, Nir Friedman, Craig Boutilier, 1995 .

An Event-Based Abductive Model of Update

Craig Boutilier, Craig Boutilier, 1994 .

Value-Directed Belief State Approximation for POMDPs pdf

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2000, UAI.

Assessing regret-based preference elicitation with the UTPREF recommendation system

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2010, EC '10.

A planning system based on Markov decision processes to guide people with dementia through activities of daily living

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2006, IEEE Transactions on Information Technology in Biomedicine.

Conditional Logics of Normality: A Modal Approach

Craig Boutilier, Craig Boutilier, 1994, Artif. Intell..

Inaccessible Worlds and Irrelevance: Preliminary Report

Craig Boutilier, Craig Boutilier, 1991, IJCAI.

Robust Winners and Winner Determination Policies under Candidate Uncertainty

Craig Boutilier, Jérôme Lang, Héctor Palacios, 2014, AAAI.

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities

Craig Boutilier, Filip Radlinski, Ivan Vendrov, 2022, AAAI.

Preference Elicitation and Interview Minimization in Stable Matchings

Craig Boutilier, Joanna Drummond, Craig Boutilier, 2014, AAAI.

Effective sampling and learning for mallows models with pairwise-preference data

Craig Boutilier, Tyler Lu, Craig Boutilier, 2014, J. Mach. Learn. Res..

Multi-Dimensional Single-Peaked Consistency and Its Approximations

Craig Boutilier, Xin Sui, Alex Francois-Nienaber, 2013, IJCAI.

Elicitation and Approximately Stable Matching with Partial Preferences

Craig Boutilier, Joanna Drummond, Craig Boutilier, 2013, IJCAI.

Non-delusional Q-learning and value-iteration

Craig Boutilier, Dale Schuurmans, Tyler Lu, 2018, NeurIPS.

Matching models for preference-sensitive group purchasing

Craig Boutilier, Tyler Lu, Craig Boutilier, 2012, EC '12.

Empathetic decision making in social networks

Craig Boutilier, Amirali Salehi-Abari, Kate Larson, 2019, Artif. Intell..

On the Foundations of Expected Expected Utility

Craig Boutilier, Craig Boutilier, 2003, IJCAI.

Iterated revision and minimal change of conditional beliefs

Craig Boutilier, Craig Boutilier, 1996, J. Philos. Log..

Constraint-based optimization and utility elicitation using the minimax decision criterion

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2006, Artif. Intell..

Local Utility Elicitation in GAI Models

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2005, UAI.

Toward a Logic for Qualitative Decision Theory

Craig Boutilier, Craig Boutilier, 1994, KR.

Accelerating Reinforcement Learning through Implicit Imitation pdf

C. Boutilier, B. Price, Craig Boutilier, 2003, J. Artif. Intell. Res..

Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2010, Comput. Vis. Image Underst..

Toward Experiential Utility Elicitation for Interface Customization

Craig Boutilier, Bowen Hui, Craig Boutilier, 2008, UAI.

The Influence of Influence Diagrams on Artificial Intelligence

Craig Boutilier, Craig Boutilier, 2005, Decis. Anal..

Approximately Optimal Monitoring of Plan Preconditions

Craig Boutilier, Craig Boutilier, 2000, UAI.

Belief Revision with Unreliable Observations

Craig Boutilier, Joseph Y. Halpern, Nir Friedman, 1998, AAAI/IAAI.

A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective

Craig Boutilier, Craig Boutilier, 1998, Artif. Intell..

Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies

Craig Boutilier, Kevin Regan, Craig Boutilier, 2010, AAAI.

Regret-based Reward Elicitation for Markov Decision Processes pdf

Craig Boutilier, Kevin Regan, Craig Boutilier, 2009, UAI.

Stochastic Local Search for POMDP Controllers

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2004, AAAI.

Bounded Finite State Controllers

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2003, NIPS.

Aligning Text-to-Image Models using Human Feedback

P. Abbeel, S. Gu, M. Ghavamzadeh, 2023, ArXiv.

On the value of using group discounts under price competition

Craig Boutilier, Moshe Tennenholtz, Reshef Meir, 2013, Artif. Intell..

Data center cooling using model-predictive control

Craig Boutilier, Nevena Lazic, Tyler Lu, 2018, NeurIPS.

RecSim: A Configurable Simulation Platform for Recommender Systems pdf

Craig Boutilier, Jing Wang, Rui Wu, 2019, ArXiv.

Efficient coordinated power distribution on private infrastructure

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2014, AAMAS.

Unifying Default Reasoning and Belief Revision in a Modal Framework

Craig Boutilier, Craig Boutilier, 1994, Artif. Intell..

Modal logics for qualitative possibility theory

Craig Boutilier, Craig Boutilier, 1994, Int. J. Approx. Reason..

The Probability of a Possibility: Adding Uncertainty to Default Rules

Craig Boutilier, Craig Boutilier, 1993, UAI.

Modal Logics for Qualitative Possibility and Beliefs pdf

Craig Boutilier, Craig Boutilier, 1992, UAI.

Empathetic social choice on social networks

Craig Boutilier, Amirali Salehi-Abari, Craig Boutilier, 2014, AAMAS.

Seq2Slate: Re-ranking and Slate Optimization with RNNs pdf

Elad Eban, Craig Boutilier, Ofer Meshi, 2018, ArXiv.

Differentiable Meta-Learning in Contextual Bandits pdf

Craig Boutilier, Manzil Zaheer, Branislav Kveton, 2020, ArXiv.

Differentiable Bandit Exploration

Csaba Szepesvari, B. Kveton, M. Zaheer, 2020, ArXiv.

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management

M. Ghavamzadeh, Craig Boutilier, Yinlam Chow, 2023, ArXiv.

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

Craig Boutilier, Deepak Ramachandran, Chih-Wei Hsu, 2022, WWW.

Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2005 .

POMDP Models for Assistive Technology

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2005, AAAI Fall Symposium: Caring Machines.

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems pdf

Craig Boutilier, Dustin Tran, Nicolas Mayoraz, 2021, ArXiv.

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG

Craig Boutilier, Dustin Tran, Vihan Jain, 2020, RecSys.

Differentiable Meta-Learning of Bandit Policies

Craig Boutilier, Csaba Szepesvári, Branislav Kveton, 2020, NeurIPS.

A Methodological Framework for Decision-theoretic Adaptation of Software Interaction and Assistance

Craig Boutilier, Bowen Hui, Craig Boutilier, 2011 .

Optimal Group Manipulation in Facility Location Problems

Craig Boutilier, Xin Sui, Craig Boutilier, 2015, ADT.

Analysis and Optimization of Multi-Dimensional Percentile Mechanisms

Craig Boutilier, Xin Sui, Tuomas Sandholm, 2013, IJCAI.

Computational Decision Support: Regret-based Models for Optimization and Preference Elicitation

Craig Boutilier, Craig Boutilier, 2012 .

Automated Design of Multistage Mechanisms

Vincent Conitzer, Craig Boutilier, Tuomas Sandholm, 2007, IJCAI.

Mechanism Design with Partial Revelation

Craig Boutilier, Nathanael Hyafil, Craig Boutilier, 2007, IJCAI.

Eliciting forecasts from self-interested experts: scoring rules for decision makers

Craig Boutilier, Craig Boutilier, 2011, AAMAS.

Approximately Strategy-proof Mechanisms for (Constrained) Facility Location

Craig Boutilier, Xin Sui, Craig Boutilier, 2015, AAMAS.

Computing Reserve Prices and Identifying the Value Distribution in Real-world Auctions with Market Disruptions

Craig Boutilier, David C. Parkes, Tuomas Sandholm, 2008, AAAI.

Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems

Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, 2003, IJCAI.

Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks

Craig Boutilier, Adrian Y. W. Cheuk, Craig Boutilier, 1997, UAI.

Piecewise linear value function approximation for factored MDPs

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2002, AAAI/IAAI.

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

P. Abbeel, M. Ghavamzadeh, Craig Boutilier, 2023, ArXiv.

A Game-Theoretic Analysis of Catalog Optimization

Craig Boutilier, Nina Narodytska, Joel Oren, 2014, AAAI.

Abduction as Belief Revision

Craig Boutilier, Verónica Becher, Craig Boutilier, 1995, Artif. Intell..

From the journals …

Martin C. Cooper, Paul A. Viola, Mark Junjie Li, 2007, The Knowledge Engineering Review.

ON THE SEMANTICS OF STABLE INHERITANCE REASONING

Craig Boutilier, Craig Boutilier, 1993, Comput. Intell..

On the Revision of Probabilistic Belief States

Craig Boutilier, Craig Boutilier, 1995, Notre Dame J. Formal Log..

Revision by Conditional Beliefs

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1993, AAAI.

A Logic for Revision and Subjunctive Queries

Craig Boutilier, Craig Boutilier, 1992, AAAI.

Generalized Update: Belief Change in Dynamic Settings

Craig Boutilier, Craig Boutilier, 1995, IJCAI.

Normative, Subjunctive and Autoepistemic Defaults

Craig Boutilier, Craig Boutilier, 1992, ECAI Workshop on Knowledge Representation and Reasoning.

Bidding Languages for Combinatorial Auctions

Craig Boutilier, Holger H. Hoos, Craig Boutilier, 2001, IJCAI.

Constraint-Based Optimization with the Minimax Decision Criterion

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2003, CP.

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

Craig Boutilier, Deepak Ramachandran, Chih-Wei Hsu, 2022, WWW.

Simultaneous Elicitation of Preference Features and Utility

Craig Boutilier, Paolo Viappiani, Kevin Regan, 2010, AAAI.

Online feature elicitation in interactive optimization

Craig Boutilier, Paolo Viappiani, Kevin Regan, 2009, ICML '09.

Gradient-based Optimization for Bayesian Preference Elicitation pdf

Craig Boutilier, Qingqing Huang, Tyler Lu, 2019, AAAI.

Active Collaborative Filtering pdf

Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin, 2002, UAI.

Robust Online Optimization of Reward-Uncertain MDPs

Craig Boutilier, Kevin Regan, Craig Boutilier, 2011, IJCAI.

Regret-based Utility Elicitation in Constraint-based Decision Problems

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2005, IJCAI.

Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions

Craig Boutilier, Tuomas Sandholm, Rob Shields, 2004, AAAI.

Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty

Craig Boutilier, Nathanael Hyafil, Craig Boutilier, 2004, UAI.

Eliciting Additive Reward Functions for Markov Decision Processes

Craig Boutilier, Kevin Regan, Craig Boutilier, 2011, IJCAI.

Optimal Set Recommendations Based on Regret

Craig Boutilier, Paolo Viappiani, Craig Boutilier, 2009, ITWP.

Minimax regret based elicitation of generalized additive utilities pdf

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2007, UAI.

Preference Elicitation and Generalized Additive Utility

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2006, AAAI.

Regret-based Incremental Partial Revelation Mechanisms

Craig Boutilier, Nathanael Hyafil, Craig Boutilier, 2006, AAAI.

An Active Approach to Collaborative Filtering

R. Zemel, Craig Boutilier, 2003, AISTATS.

Online Queries for Collaborative Filtering

Craig Boutilier, Richard S. Zemel, R. Zemel, 2010 .

Preference elicitation with subjective features

Craig Boutilier, Paolo Viappiani, Kevin Regan, 2009, RecSys '09.

Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept

Craig Boutilier, Evangelos Markakis, Georgios Chalkiadakis, 2007, AAMAS '07.

Incomplete Information and Communication in Voting

Craig Boutilier, Jeffrey S. Rosenschein, Craig Boutilier, 2016, Handbook of Computational Social Choice.

Optimal social choice functions: a utilitarian view

Craig Boutilier, Ariel D. Procaccia, Ioannis Caragiannis, 2012, EC '12.

Robust Approximation and Incremental Elicitation in Voting Protocols

Craig Boutilier, Tyler Lu, Craig Boutilier, 2011, IJCAI.

Intelligent decision support in medicine: back to Bayes?

Gitte Lindgaard, Craig Boutilier, M. Frize, 2007, ECCE '07.

Solving concisely expressed combinatorial auction problems

Craig Boutilier, Craig Boutilier, 2002, AAAI/IAAI.

Solving Combinatorial Auctions Using Stochastic Local Search

Craig Boutilier, Holger H. Hoos, Craig Boutilier, 2000, AAAI/IAAI.

Uncertainty in Artificial Intelligence 16

C. Boutilier, M. Goldszmidt, M. Goldszmidt, 2000 .

Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty

Bo An, Craig Boutilier, Milind Tambe, 2014, AAAI.

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach

Craig Boutilier, Omer Ben-Porat, Richard Zemel, 2020, ICML.

Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing

Craig Boutilier, David C. Parkes, Tuomas Sandholm, 2008, AAAI.

Latent Bandits Revisited pdf

Craig Boutilier, Manzil Zaheer, Branislav Kveton, 2020, NeurIPS.

Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs

Craig Boutilier, Tyler Lu, Craig Boutilier, 2011, ADT.

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

Konstantina Christakopoulou, Craig Boutilier, Ed H. Chi, 2021, WWW.

Multiple-Profile Prediction-of-Use Games

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2017, AAMAS.

Coalitional Bargaining with Agent Type Uncertainty

Craig Boutilier, Georgios Chalkiadakis, Craig Boutilier, 2007, IJCAI.

A study of limited-precision, incremental elicitation in auctions

Craig Boutilier, Alexander Kress, Craig Boutilier, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

T. Dean, S. Hanks, Craig Boutilier, 1999, J. Artif. Intell. Res..

CAQL: Continuous Action Q-Learning

Craig Boutilier, Yinlam Chow, Christian Tjandraatmadja, 2019, ICLR.

Computing Optimal Subsets

Ronen I. Brafman, Craig Boutilier, Solomon Eyal Shimony, 2007, AAAI.

Probabilistic and Utility-theoretic Models in Social Choice : Challenges for Learning , Elicitation , and Manipulation

Craig Boutilier, Tyler Lu, 2011 .

Social Choice : From Consensus to Personalized Decision Making

Craig Boutilier, Tyler Lu, Craig Boutilier, 2011 .

Thompson Sampling with a Mixture Prior

B. Kveton, M. Zaheer, M. Ghavamzadeh, 2021, AISTATS.